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Displaying 1 - 25 of 32 results.

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    • Speech
    Clustering fractal urban patterns with curves of scaling behavior
    Thomas, Isabelle[UCL] Frankhauser, Pierre Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2009) 49th Congress of the European Regional Science Association "Territorial cohesion of Europe and integrative planning" (ERSA 2009) — Lodz (Poland)
    • Journal article
    Reinforced Extreme Learning Machines for Fast Robust Regression in the Presence of Outliers
    Frénay, Benoît[FUNDP] Verleysen, Michel[UCL] (2015) IEEE Transactions on Cybernetics — no. 99, p. 13 (17/12/2015)
    • Journal article
    Clustering patterns of urban built-up areas with curves of fractal scaling behaviour
    Thomas, Isabelle[UCL] Frankhauser, Pierre Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2010) Environment and Planning B. Planning and Design — Vol. 37, no. 5, p. 942-954 (2010)
    • Speech
    A Comprehensive Introduction to Label Noise
    Frénay, Benoît[UCL] Kaban, Ata (2014) 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014) — Bruges (Belgium)
    • Speech
    Feature Ranking in Changing Environments where New Features are Introduced
    Degeest, Alexandra[UCL] Verleysen, Michel[UCL] Frénay, Benoît[FUNDP] (2015) 2015 International Joint Conference on Neural Networks (IJCNN 2015) — Killarney (Ireland)
    • Journal article
    Parameter-insensitive kernel in extreme learning for non-linear support vector regression
    Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2011) Neurocomputing — Vol. 74, no.16, p. 2526-2531 (September 2011)
    • Speech
    Emission Modelling for Supervised ECG Segmentation using Finite Differences
    Frénay, Benoît[UCL] de Lannoy, Gaël[UCL] Verleysen, Michel[UCL] (2008) 4th European Conference of the International Federation for Medical and Biological Engineering - MBEC 2008 — Antwerp (Belgium)
    • Journal article
    Estimating Mutual information for feature selection in the presence of label noise
    Frénay, Benoît[UCL] Doquire, Gauthier[UCL] Verleysen, Michel[UCL] (2014) Computational Statistics & Data Analysis — Vol. 71, p. 832-848 (1 May 2013)
    • Journal article
    Feature selection for nonlinear models with extreme learning machines
    Frénay, Benoît[UCL] van Heeswijk, Mark Miche, Yoan Verleysen, Michel[UCL] Lendasse, Amaury (2013) Neurocomputing — Vol. 102, p. 111-124 (15 February 2013)
    • Journal article
    Pointwise probability reinforcements for robust statistical inference
    Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2014) Neural Networks — Vol. 50, p. 124-141 (14 November 2013)
    • Journal article
    Is mutual information adequate for feature selection in regression?
    Frénay, Benoît[UCL] Doquire, Gauthier[UCL] Verleysen, Michel[UCL] (2013) Neural Networks — Vol. 48, p. 1-7 (4 July 2013)
    • Speech
    Finding the most interpretable MDS rotation for sparse linear models based on external features
    BIBAL, Adrien Marion, Rebecca[UCL] Frénay, Benoît (2018) European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — Bruges, Belgium
    • Speech
    Supervised ECG Delineation Using the Wavelet Transform and Hidden Markov Models
    de Lannoy, Gaël[UCL] Frénay, Benoît[UCL] Verleysen, Michel[UCL] Delbeke, Jean[UCL] (2008) 4th European Conference of the International Federation for Medical and Biological Engineering (MBEC 2008) — Antwerp (Belgium)
    • Speech
    Smoothness Bias in Relevance Estimators for Feature Selection in Regression
    Degeest, Alexandra[UCL - Haute-Ecole Bruxelles Brabant - ISIB, Brussels, Belgium] Verleysen, Michel[UCL] Frénay, Benoît (2018) 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018) — Rhodes (Greece)
    • Speech
    Valid Interpretation of Feature Relevance for Linear Data Mappings
    Frénay, Benoît[UCL] Hofmann, Daniela Schulz, Alexander Biehl, Michael Hammer, Barbara (2014) 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2014) — Orlando (USA)
    • Speech
    Risk Estimation and Feature Selection
    Doquire, Gauthier[UCL] Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2013) European Symposium on Artificial Neural Networks (ESANN 2013) — Bruges (Belgium)
    • Speech
    Using SVMs with randomised feature spaces: an extreme learning approach
    Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2010) 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (ESANN 2010) — Bruges (Belgium)
    • Journal article
    Classification in the Presence of Label Noise: a Survey
    Frénay, Benoît[UCL] Verleysen, Michel[UCL] (2015) IEEE Transactions on Neural Networks and Learning Systems — Vol. 25, no. 5, p. 845-869 (10/04/2015)
    • Speech
    Improving the transition modelling in hidden Markov models for ECG segmentation
    Frénay, Benoît[UCL] de Lannoy, Gaël[UCL] Verleysen, Michel[UCL] (2009) 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (ESANN 2009) — Bruges (Belgium)
    • Speech
    Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs
    Frénay, Benoît[UCL] de Lannoy, Gaël[UCL] Verleysen, Michel[UCL] (2011) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2011) — Athens (Greece)
    • Speech
    On the Potential Inadequacy of Mutual Information for Feature Selection
    Frénay, Benoît[UCL] Doquire, Gauthier[UCL] Verleysen, Michel[UCL] (2012) 20th International Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012) — Bruges (Belgium)

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